Web Tool for Running Regression Models
- Upload CSV data to preview and explore descriptive statistics
- Filter to create subsets
- Run Linear, Poisson, or Binary Logistic regression with variable transformations (log, quadratic)
- Set insignificant coefficients to zero at 5% or 10% levels
- View the estimated regression equation and make predictions
Disclaimer
- Results may contain errors. The output from this tool may be inaccurate, incomplete, or incorrect. Users should independently verify all results.
- No warranty. This tool is provided "as is" without any warranty of any kind.
- User assumes all risk. Users assume full responsibility for reviewing and validating any output.
📧 Report issues: If you encounter any issues, problems, or errors while using this tool, please contact Dr. Cosguner at kcosgun@iu.edu so they can be resolved promptly.
1. Upload Your Data
Click to upload or drag and drop
CSV files only
Data Preview (first 10 rows)
Descriptive Statistics
Select the table and copy (Ctrl+C / Cmd+C) to paste into Excel.
Note: For each variable, missing values are excluded from the calculations of descriptive statistics.
Data Selection
Choose whether to use the full dataset or filter to a subset based on specific conditions.
Add filter conditions below. Multiple conditions are combined with AND logic.
3. Results
Coefficient Estimates
Select the table and copy (Ctrl+C / Cmd+C) to paste into Excel.
Estimated Regression Equation
Full R Output
Download the R script to run or verify the analysis locally in R/RStudio.